Citations

Key PointsIn a randomized phase 3 trial, overall response rates, PFS, and overall survival were similar between MPT-T and mPR-R. Toxicity with both regimens was common, but mPR-R was better tolerated, and patients on the mPR-R regimen reported better quality of life.

Abstract Purpose: Primary central nervous system lymphoma (PCNSL) is an aggressive non-Hodgkin lymphoma confined to the central nervous system. Whether there is a PCNSL-specific genomic signature and, if so, how it differs from systemic diffuse large B-cell lymphoma (DLBCL) is uncertain. Experimental Design: We performed a comprehensive genomic study of tumor samples from 19 immunocompetent PCNSL patients. Testing comprised array-comparative genomic hybridization and whole exome sequencing. Results: Biallelic inactivation of TOX and PRKCD was recurrently found in PCNSL but not in systemic DLBCL, suggesting a specific role in PCNSL pathogenesis. In addition, we found a high prevalence of MYD88 mutations (79%) and CDKN2A biallelic loss (60%). Several genes recurrently affected in PCNSL were common with systemic DLBCL, including loss of TNFAIP3, PRDM1, GNA13, TMEM30A, TBL1XR1, B2M, CD58, activating mutations of CD79B, CARD11, and translocations IgH-BCL6. Overall, B-cell receptor/Toll-like receptor/NF-κB pathways were altered in >90% of PNCSL, highlighting its value for targeted therapeutic approaches. Furthermore, integrated analysis showed enrichment of pathways associated with immune response, proliferation, apoptosis, and lymphocyte differentiation. Conclusions: In summary, genome-wide analysis uncovered novel recurrent alterations, including TOX and PRKCD, helping to differentiate PCNSL from systemic DLBCL and related lymphomas. Clin Cancer Res; 21(17); 3986–94. ©2015 AACR.

Abstract Introduction: Identification of causal DNA copy number variations (CNVs) is critical to the understanding of cancer development and progression, and is important clinically for accurate prognosis and efficient treatment. T-cell lymphomas are replete with amplifications and deletions that result in over- and under-expression of genes. Array comparative genomic hybridization (aCGH) has been the technology of choice to detect CNVs but recently, it has been proposed that mate-pair Next Generation Sequencing (mpNGS) can produce similar results. Here, we report a comparison between the two techniques. Methods: We have developed an algorithm based on extreme value theory to identify CNVs across the genome at high resolution from mate-pair NGS data. The algorithm is based on plotting the distribution of read-counts in windows across the genome, and detecting deletions and gains by finding the windows that differ significantly from the distribution of the normal part of the genome. We compared this algorithm with aCGH data to detect CNVs. We ran five cases of T-cell lymphoma with both techniques and compared the results using concordance statistics. Results: With 50kb lower cutoff for a CNV, mpNGS detected 98% of the cumulative deleted genome and 94% of the amplified/gained genome that were called by aCGH. Most of the discordant CNVs that were detected by only aCGH were in regions of repetitive areas where mapping fails. Conversely, aCGH detected 75% of the cumulative deleted genome and 74% of the amplified/gained genome that were called by mpNGS. Conclusion: A detailed comparison of these techniques showed that both have pros and cons. In general, mpNGS can detect most CNVs detected by aCGH, as long as they are more than 50KB. Additionally, mpNGS offers confirmatory data, particularly for deletions, based on detection of aberrant mate pairs that map to the rejoined ends of deleted regional. Finally, the mate-pair technology can also detect balanced translocations and can also predict fusion genes. Citation Format: George Vasmatzis, Andrew L. Feldman, Sarah H. Johnson, Erik C. Thorland, Rafael Fonseca, Esteban Braggio, Troy J. Gliem. Copy number detection using genomics technologies: A comparison between aCGH and NGS. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 3572. doi:10.1158/1538-7445.AM2014-3572

Abstract Background: Whole genome/exome/RNA sequencing has revolutionized the ability to assess the genomic landscape of cancer and is increasingly being utilized for clinical decision-making. Initial clinical applications have been constrained by specimen quantity, analyte quality and the time from sample acquisition to results report. Methods: Patients with advanced cancers underwent surgical resection, excisional/core biopsies, or bone marrow biopsy. Samples were analyzed by whole genome or exome sequencing in addition to RNA sequencing, bioinformatics analysis, and therapeutic target prioritization by a multi-disciplinary Clinical Genomics Board. All prioritized targets were CLIA validated using Sanger sequencing, RT-qPCR, FISH, or IHC as appropriate. Treatment was delivered using off-label FDA approved drugs, clinical trials, or single patient INDs. Results: We have enrolled 40 patients for whom sequencing data is available on 33. The initial 6 patients were evaluated in a non-CLIA pilot phase and 27 in a CLIA-enabled phase. Tumor types in the CLIA-enabled phase with the highest enrollment were pancreatic cancer (n=8) and cholangiocarcinoma (n=8). We sought to quantify the targets identified along with clinical benefit, defining these as the “Actionable Index” (AI) (proportion of patients with ≥ 1 putative drug target) and “Utility Index” (UI) (proportion of patients who derive clinical benefit). Putative therapeutic targets were identified in 7/8 (AI=0.88) cholangiocarcinoma (CC) patients and in 5/8 (AI=0.63) pancreatic cancer (PC) patients. All 3 CC patients who received target directed treatment achieved a partial response (UI=0.38). In contrast, none of the 4 PC patients who received target directed therapy had treatment response (UI=0.0). Interestingly no actionable targets were identified in 1 CC and in 2 PCs. One CC with an identified target was unable to access the drug and subsequently died. A CC patient and a PC patient, each with identified targets, expired prior to the initiation of therapy. Conclusions: While whole genome/exome/RNA sequencing is providing unparalleled detail of tumor genomes, the application to the clinic must be carefully considered. Actionability of targets will eventually need to be defined in close relation to eventual clinical utility and appropriate refinements to disease-gene-drug databases implemented. Preliminary observations in pancreatic cancer and cholangiocarcinoma demonstrate disparity in correlation between utility indices and actionable indices. Application of these tools in larger cohorts and types of tumors will need to be conducted to ascertain more precise estimates. Additional measures that are organ-site agnostic but pertain to specific targets (e.g. BRAF) will also need to be developed in order to facilitate more judicious application of sequencing in the clinical setting. Citation Format: Jan B. Egan, Alan H. Bryce, Mia D. Champion, Winnie S. Liang, Rafael Fonseca, Ann E. McCullough, Michael T. Barrett, Katherine Hunt, Rachel M. Condjella, Robert R. McWilliams, Stephen D. Mastrian, Janine LoBello, Daniel Von Hoff, David W. Craig, A. Keith Stewart, John D. Carpten, Mitesh J. Borad. Indices of actionability and clinical utility in a CLIA-enabled study of whole genome/exome/RNA sequencing in 33 cancer patients: Actionable vs. utility. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4694. doi:10.1158/1538-7445.AM2014-4694

Key Points Dinaciclib is a novel cdk inhibitor that demonstrates single agent activity in myeloma. Dinaciclib has a safety profile that is easily manageable.

Key Points Deep sequencing identifies a significant reservoir of subclonal mutations affecting key genes in CLL pathogenesis. Convergent evolution of genetic lesions in tumor subclonal populations is recurrently found in CLL.

SummaryWe constructed a multiple myeloma (MM)‐specific gene panel for targeted sequencing and investigated 72 untreated high‐risk (del17p) MM patients. Mutations were identified in 78% of the patients. While the majority of studied genes were mutated at similar frequency to published literature, the prevalence of TP53 mutation was increased (28%) and no mutations were found in FAM46C. This study provides a comprehensive insight into the mutational landscape of del17p high‐risk MM. Additionally, our work demonstrates the practical use of a customized sequencing panel, as an easy, cheap and fast approach to characterize the mutational profile of MM.

Abstract Increasing evidence points towards the importance of epigenetic changes in the pathogenesis of multiple myeloma (MM). The biochemical modifications that govern epigenetics are DNA methylation, and post-translational modifications of histone proteins. Histone methylation is catalyzed by histone methyltransferases (HMT) and histone demethylases (HDMT). The purpose of our study was to interrogate genomics data to identify HMT or HDMT genes that are altered in MM. We mined copy number, gene expression and whole genome sequencing data generated as part of the Multiple Myeloma Research Consortium Genomics Initiative. Collectively, the datasets converged on numerous alterations involving histone methylation of lysine 9 (H3K9). One of these genes, the HDMT JMJD1C, was over-expressed in approximately 15% of MM samples examined. We validated over-expression of JMJD1C expression by RT-PCR in over 50 clinical MM samples and 10 human myeloma cell lines (HMCLs). We also confirmed over-expression of JMJD1C by immunohistochemistry (IHC) in a tissue microarray (TMA) consisting of over 60 MM samples. Next we demonstrated a negative correlation between JMJD1C expression and H3K9 methylation by IHC and western blot in 6/10 HMCL and in over 60% of clinical samples examined on the TMA. This validates the H3K9 demethylase activity of JMJD1C. Furthermore, we demonstrated that, in general, H3K9 methylation, a repressive mark associated with heterochromatin, is low in a large percentage of samples. To study the functional significance, we generated a double knockout isogenic cell line pair in U266 cells using zinc finger nuclease technology. We performed ChIP-seq and RNA-seq analyses to identify genes affected by JMJD1C binding to H3K9. Our data indicate that loss of JMJD1C expression alleviates the repression conferred by H3K9 methylation in MM. Studies are ongoing to realize JMJD1C as a potential and novel therapeutic target in MM. Citation Format: Janine LoBello, Danielle DiPerna, Moly Gale, Aprill Watanabe, Galen Hostetter, Rafael Fonseca, Bodour Salhia. Regulation of H3K9 methylation by the demethyltransferase gene JMJD1C in multiple myeloma. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 4243. doi:10.1158/1538-7445.AM2013-4243

Abstract The plasma cell malignancy Multiple Myeloma (MM) is a rare but deadly form of cancer with 5 year survival rates of ∼30%. Epidemiological studies have suggested that MM exacts an especially heavy burden on African American (AA) patients. We examined a multi-ethnic cohort of MM tumors to assess potential differences in the frequency of molecular events in tumors derived from either African American (AA) or European American (EA) patients. The frequency of 14q32 translocation breakpoints at the IgH locus was compared among a series of data from 115 AA MM patients from three studies and EA MM from the Eastern Cooperative Oncology Group (ECOG). In addition, we analyzed matching genome-wide copy number and transcriptional data among 45 AA MM tumors and 196 EA MM tumors to determine differences in the frequency of molecular events in tumors from these populations. No differences were found for specific translocation subtypes; however, we detected a statistically significant difference in the overall frequency of IgH translocations between the two groups, which occurred more frequently in EA patients (52% vs. 40%; p = 0.032). When assessing genomic copy number events previously shown to be associated with poor outcome in MM, frequencies of alterations were not significant after correcting for multiple testing. Furthermore, there was not a significant difference in the association of high-risk disease using expression profiling. Our study represents the first comprehensive assessment of the frequency and distribution of molecular alterations in MM tumors from both AA and EA patients and could help shed light on possible biological features associated with population differences in incidence and outcome in MM. Citation Format: Angela S. Baker, Esteban Braggio, Susana Jacobus, Sungwon Jung, Dirk Larson, Terry Therneau, Angela Dispenzieri, Scott A. Van Wier, Gregory Ahmann, Joan Levy, Louise Perkins, Seungchan Kim, Kim Henderson, David Vesole, S. Vincent Rajkumar, Dianne F. Jelinek, John Carpten, Rafael Fonseca. Characterization of myeloma tumors from a multi-ethnic cohort using cytogenetics and genomic analysis. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 2021. doi:10.1158/1538-7445.AM2013-2021